Deploy Qwen-Image-Edit_ComfyUI on Your PC

Using Docker is the absolute quickest way to install this model on your local machine.

Make sure to follow the instructions below.

The system automatically triggers a cloud download for all heavy weights.

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

📤 Release Hash: e450412f3ba1572fa0088796991d2d44 • 📅 Date: 2026-06-22 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage GPU: high memory bandwidth GPU for next-gen local AI pipeline

The Qwen-Image-Edit_ComfyUI model leverages a state‑of‑the‑art diffusion framework to deliver precise image editing capabilities directly within the ComfyUI environment. It supports high‑resolution outputs and enables operations such as object removal, inpainting, and style transfer with minimal latency. A conditional guidance mechanism ensures semantic consistency across edited regions, preserving the original context while applying modifications. The architecture employs a dual‑encoder design that combines a vision encoder for detailed feature extraction and a text encoder for contextual understanding. Users can integrate the model into existing node‑based workflows without extensive retraining, making advanced editing accessible to both developers and artists. Below is a quick comparison of key performance metrics that highlight its efficiency and quality relative to similar tools.

Metric	Value
Resolution	2048×2048
Inference Time	~120ms
PSNR	38.5 dB

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